## # A tibble: 142 × 8
##    continent           country              data    model
##       <fctr>            <fctr>            <list>   <list>
## 1   Americas            Brazil <tibble [12 × 5]> <S3: lm>
## 2     Africa        Mauritania <tibble [12 × 5]> <S3: lm>
## 3     Europe            France <tibble [12 × 5]> <S3: lm>
## 4     Europe       Switzerland <tibble [12 × 5]> <S3: lm>
## 5       Asia          Pakistan <tibble [12 × 5]> <S3: lm>
## 6       Asia         Indonesia <tibble [12 × 5]> <S3: lm>
## 7     Africa Equatorial Guinea <tibble [12 × 5]> <S3: lm>
## 8     Africa           Comoros <tibble [12 × 5]> <S3: lm>
## 9   Americas         Nicaragua <tibble [12 × 5]> <S3: lm>
## 10  Americas         Guatemala <tibble [12 × 5]> <S3: lm>
## # ... with 132 more rows, and 4 more variables: glance <list>, rsq <dbl>,
## #   tidy <list>, augment <list>
## # A tibble: 52 × 8
##    continent                  country              data    model
##       <fctr>                   <fctr>            <list>   <list>
## 1     Africa                  Algeria <tibble [12 × 5]> <S3: lm>
## 2     Africa                   Angola <tibble [12 × 5]> <S3: lm>
## 3     Africa                    Benin <tibble [12 × 5]> <S3: lm>
## 4     Africa                 Botswana <tibble [12 × 5]> <S3: lm>
## 5     Africa             Burkina Faso <tibble [12 × 5]> <S3: lm>
## 6     Africa                  Burundi <tibble [12 × 5]> <S3: lm>
## 7     Africa                 Cameroon <tibble [12 × 5]> <S3: lm>
## 8     Africa Central African Republic <tibble [12 × 5]> <S3: lm>
## 9     Africa                     Chad <tibble [12 × 5]> <S3: lm>
## 10    Africa                  Comoros <tibble [12 × 5]> <S3: lm>
## # ... with 42 more rows, and 4 more variables: glance <list>, rsq <dbl>,
## #   tidy <list>, augment <list>